{"id":"https://openalex.org/W4401342938","doi":"https://doi.org/10.1007/s40747-024-01565-2","title":"Self-selective receptive field network for person re-identification","display_name":"Self-selective receptive field network for person re-identification","publication_year":2024,"publication_date":"2024-08-05","ids":{"openalex":"https://openalex.org/W4401342938","doi":"https://doi.org/10.1007/s40747-024-01565-2"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-024-01565-2","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s40747-024-01565-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01565-2.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01565-2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081135528","display_name":"Shaoqi Hou","orcid":"https://orcid.org/0000-0001-8304-5711"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shaoqi Hou","raw_affiliation_strings":["Kash Institute of Electronics and Information Industry, Kashi, China","Shenzhen Institute of Information Technology, Shenzhen, China","University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-8304-5711","affiliations":[{"raw_affiliation_string":"Kash Institute of Electronics and Information Industry, Kashi, China","institution_ids":["https://openalex.org/I4210110458"]},{"raw_affiliation_string":"Shenzhen Institute of Information Technology, Shenzhen, China","institution_ids":["https://openalex.org/I158809036"]},{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043425721","display_name":"Xueting Liu","orcid":"https://orcid.org/0000-0002-5681-8464"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueting liu","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-5681-8464","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071047399","display_name":"Chenyu Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyu Wu","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0004-9522-3780","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101807519","display_name":"Guangqiang Yin","orcid":"https://orcid.org/0000-0003-2178-2147"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangqiang Yin","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-2178-2147","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010888912","display_name":"Xinzhong Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinzhong Wang","raw_affiliation_strings":["Shenzhen Institute of Information Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Information Technology, Shenzhen, China","institution_ids":["https://openalex.org/I158809036"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100430090","display_name":"Zhiguo Wang","orcid":"https://orcid.org/0000-0002-5652-5362"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiguo Wang","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-5652-5362","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5081135528"],"corresponding_institution_ids":["https://openalex.org/I150229711","https://openalex.org/I158809036","https://openalex.org/I4210110458"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":0.7142,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70541992,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"10","issue":"6","first_page":"7777","last_page":"7797"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.7048797607421875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7029432058334351},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5926891565322876},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5889697074890137},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.553098201751709},{"id":"https://openalex.org/keywords/receptive-field","display_name":"Receptive field","score":0.5374627113342285},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.526201069355011},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5110436677932739},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44517406821250916},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.44258663058280945},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4383623003959656},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42761215567588806},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.4222468435764313},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3897264003753662},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37289518117904663},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3355891704559326},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.27685603499412537},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1398821473121643}],"concepts":[{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.7048797607421875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7029432058334351},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5926891565322876},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5889697074890137},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.553098201751709},{"id":"https://openalex.org/C19071747","wikidata":"https://www.wikidata.org/wiki/Q1755207","display_name":"Receptive field","level":2,"score":0.5374627113342285},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.526201069355011},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5110436677932739},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44517406821250916},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.44258663058280945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4383623003959656},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42761215567588806},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.4222468435764313},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3897264003753662},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37289518117904663},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3355891704559326},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27685603499412537},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1398821473121643},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-024-01565-2","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s40747-024-01565-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01565-2.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a6ed5037ce494037836fa26da46ce04d","is_oa":true,"landing_page_url":"https://doaj.org/article/a6ed5037ce494037836fa26da46ce04d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 10, Iss 6, Pp 7777-7797 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-024-01565-2","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s40747-024-01565-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01565-2.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4401342938.pdf"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1849277567","https://openalex.org/W1982925187","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2412782625","https://openalex.org/W2511791013","https://openalex.org/W2549139847","https://openalex.org/W2560023338","https://openalex.org/W2592939477","https://openalex.org/W2604463754","https://openalex.org/W2618530766","https://openalex.org/W2768610172","https://openalex.org/W2798590501","https://openalex.org/W2798775284","https://openalex.org/W2954765307","https://openalex.org/W2962858109","https://openalex.org/W2962923976","https://openalex.org/W2962926870","https://openalex.org/W2963047834","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2963330186","https://openalex.org/W2963446712","https://openalex.org/W2963604034","https://openalex.org/W2964350391","https://openalex.org/W2979938149","https://openalex.org/W2981393440","https://openalex.org/W2984145721","https://openalex.org/W2988964414","https://openalex.org/W3006714671","https://openalex.org/W3035539956","https://openalex.org/W3048070442","https://openalex.org/W3096285474","https://openalex.org/W3120351788","https://openalex.org/W3136038792","https://openalex.org/W3162981594","https://openalex.org/W3174189418","https://openalex.org/W3176033671","https://openalex.org/W3176336223","https://openalex.org/W3183523885","https://openalex.org/W3189500528","https://openalex.org/W3195399086","https://openalex.org/W3203532213","https://openalex.org/W4225706465","https://openalex.org/W4280543750","https://openalex.org/W4304084133","https://openalex.org/W4311411216","https://openalex.org/W4312554764","https://openalex.org/W4312840286","https://openalex.org/W4312932696","https://openalex.org/W4317510106","https://openalex.org/W4320012046"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2089544495","https://openalex.org/W3034421924","https://openalex.org/W2982536526","https://openalex.org/W4386858688","https://openalex.org/W4380302312","https://openalex.org/W3008689640","https://openalex.org/W4390971171","https://openalex.org/W4385338604","https://openalex.org/W3081626085"],"abstract_inverted_index":{"Abstract":[0],"Person":[1],"Re-identification":[2],"(Re-ID)":[3],"technology":[4],"aims":[5],"to":[6,40,95,135,154],"solve":[7,62],"the":[8,12,26,42,47,51,55,63,83,89,98,105,114,133,138,141,156,175,178,183,186,213],"matching":[9],"problem":[10],"of":[11,28,44,50,58,77,100,107,140,148,158,177,185,215],"same":[13],"pedestrians":[14],"at":[15,123],"different":[16,124],"times":[17],"and":[18,111,120,131,167,181,208],"places,":[19],"which":[20,210],"has":[21],"important":[22],"application":[23,57],"value":[24],"in":[25,152],"field":[27,143],"public":[29],"safety.":[30],"At":[31],"present,":[32],"most":[33],"scholars":[34],"focus":[35],"on":[36,88,191],"designing":[37,79],"complex":[38,80],"models":[39],"improve":[41,97],"accuracy":[43],"Re-ID,":[45],"but":[46],"high":[48],"complexity":[49,157],"model":[52],"further":[53],"restricts":[54],"practical":[56],"Re-ID":[59,101,200],"algorithm.":[60],"To":[61],"above":[64],"problems,":[65],"this":[66],"paper":[67],"designs":[68],"a":[69,163,169,203],"lightweight":[70],"Self-selective":[71],"Receptive":[72],"Field":[73],"(SRF)":[74],"block":[75,116],"instead":[76],"directly":[78],"models.":[81],"Specifically,":[82],"module":[84,134],"can":[85,201],"be":[86],"plug-and-play":[87],"general":[90],"backbone":[91],"network,":[92],"so":[93],"as":[94],"significantly":[96],"performance":[99,207],"while":[102],"effectively":[103],"controlling":[104],"amount":[106],"its":[108],"own":[109],"parameter":[110],"calculation:":[112],"(1)":[113],"SRF":[115,159,196,216],"encodes":[117],"pedestrian":[118],"targets":[119],"image":[121],"contexts":[122],"scales":[125],"by":[126,146,173],"constructing":[127],"pyramidal":[128],"convolution":[129,171,187],"group":[130],"allows":[132],"independently":[136],"select":[137],"size":[139],"receptive":[142],"through":[144],"training":[145],"means":[147],"self-adaptive":[149],"weighting;":[150],"(2)":[151],"order":[153],"reduce":[155],"block,":[160],"we":[161],"introduce":[162],"\"channel":[164],"scaling":[165],"factor\"":[166],"design":[168],"\"grouped":[170],"operation\"":[172],"constraining":[174],"channels":[176],"feature":[179],"map":[180],"changing":[182],"structure":[184],"kernel":[188],"respectively.":[189],"Experiments":[190],"multiple":[192],"datasets":[193],"show":[194],"that":[195],"Network":[197],"(SRFNet)":[198],"for":[199],"achieve":[202],"good":[204],"balance":[205],"between":[206],"complexity,":[209],"fully":[211],"demonstrates":[212],"effectiveness":[214],"block.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-01-16T23:16:36.188383","created_date":"2025-10-10T00:00:00"}